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Remote Databricks Data Engineer Jobs in Mesa, AZ

Inherent Technologies

GCP Architect

Chandler, AZ · Remote

$65.25 - $84/hr

Secaucus, NJ/Remote Duration: 1 Years JD: 8+ years of experience in Data Engineering or L3 level of support in data Analytics General Description Experience with Data Lake, data warehouse ETL ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Engineering tables and jobs using Spark SQL and Python to meet analysis and reporting needs

Markel International

Lead Data Architect

Scottsdale, AZ · On-site +1

Design and evolve data architecture across a Databricks-first lakehouse in a broader Azure ecosystem, understanding both target state and appropriate trade-offs * Partner with engineering teams to ...

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

State Farm

Lead Eventing AWS Engineer (Kafka/Kinesis)

Tempe, AZ · On-site +1

$98K - $129K/yr

Our stack is AWS-native today and evolving toward an enterprise lakehouse on Databricks. If you are an engineer who believes that great data and eventing is the foundation of everything that matters ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Ensures business data and analysis requirements are met by properly applying data concepts ... Utilizes programming and analytical tools, including open source programs including Python, R and ...

Owens & Minor

Senior Manager, Data Engineering

Phoenix, AZ · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

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All JobsDatabricks Data Engineer JobsRemote Databricks Data Engineer JobsRemote Databricks Data Engineer Jobs in Mesa, AZ

Remote Databricks Data Engineer information

See Mesa, AZ salary details

$44.1K

$128.7K

$176.1K

How much do remote databricks data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote databricks data engineer in Mesa, AZ is $128,691.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,600.00 and $136,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a remote Databricks data engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks data engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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Remote Databricks Data Engineer jobs near you

GCP Architect

Inherent Technologies

Chandler, AZ • Remote

$65.25 - $84/hr

Other

Re-posted 22 days ago

Job description

Position: GCP Architect

Location: Secaucus, NJ/Remote

Duration: 1 Years


JD:
8+ years of experience in Data Engineering or L3 level of support in data Analytics
General Description
Experience with Data Lake, data warehouse ETL pipelines build and design.
Hands-on with GCP data and analytics services - Cloud DataProc, Cloud Dataflow, Cloud Dataprep , Apache Beam/ composer, Cloud BigQuery,
Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines to ensure seamless data flow from various sources to our data warehouse using DBT or GCP BigQuery.
Data Modelling: Implement and manage data models in BigQuery to support business analytics and reporting needs.
Version Control: Utilize GIT for version control to manage changes in data pipelines, schemas, and related code.
Solid coding skills in languages such as SQL, Python, or Java
8+ years of experience as a Data Engineer or in a similar role
Technical Requirements
Identify, create, maintain and support data model/data aggregation model base on business requirements and implement ETL for those models accordingly.
Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Implementing, establishing standards, and maintaining company data lake (UDP), regional platforms data streaming from Apache Kafka topics.
Develop and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
Writes unit/integration tests, contributes to engineering wiki, and documents work.
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Design data integrations and data quality framework.
Design and evaluates open source and vendor tools for data lineage.
Work closely with all business units and engineering teams to develop strategy for long term data platform architecture.
Plan, create, and maintain data architectures while also keeping it aligned with business requirements.
Work closely with business and application delivery team on new digital project/implementation to understand solution and implemented data structure so that all relevant data engineer work including reports and various data-related enhancement can be implemented accordingly as part of the project.
Develop report/dashboard/dataset for business user base on request.
Assist to support existing reports/dashboard/dataset and also maintain report/dashboard/dataset repository.
Soft Skills
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving and critical thinking skills.
Exceptional project management and organizational abilities.
Team collaboration and leadership skills.
Demonstrate a general knowledge of market trends and competition.
Be a strong team player.
Client-focused approach with a commitment to delivering exceptional customer service.
Certifications (Good to have)
Google Professional Data Engineer
Google Professional Data Architect
Educational Qualifications
Bachelor's Degree in Computer Science, Computer Engineering or a closely related field.